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python framework for analysing and managing scientific data

The python framework pyphant allows for the creation and application of data flow models. The central idea of this approach is to encapsulate each data processing step in one unit which is called a worker. A worker receives input via sockets and provides the results of its data processing via plugs. These can be inserted into other workers' sockets. The resulting directed graph is called a recipe. Classes for these objects comprise the Pyphant core. To implement actual processing steps, Pyphant relies on third party plug-ins, also referred to as toolboxes, which extend the basic worker class, e.g. py-pyphant-imageprocessing. On top of the core, Pyphant offers a data exchange layer on basis of numpy arrays which facilitates the interoperability of the workers and fully supports physical quantities with errors and units. The third layer is a graphical user interface allowing for the interactive construction of recipes as well as the calculation and visualization of data from any worker in the recipe.

Version: 1.0b3 License: BSD GitHub
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7 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
13 16262 2023-01-17 11:33:24 0:02:31 2285 build successful
12 10462 2022-01-05 4:23:33 0:00:36 3017 build successful
12.arm64 25865 2021-11-23 5:59:35 0:00:24 1480 failed install-dependencies
11 40090 2021-07-13 13:38:25 0:07:51 7878 build successful
11 19403 2021-02-04 15:19:16 0:02:16 2657 failed install-dependencies
11 18741 2021-02-01 10:41:27 0:02:13 2498 failed install-dependencies
10.15 8371 2019-12-01 10:46:30 0:07:53 1042 build successful